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Transcranial magnetic stimulation for tinnitus: using the Tinnitus Functional Index to predict benefit in a randomized controlled trial

Overview of attention for article published in Trials, February 2017
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Title
Transcranial magnetic stimulation for tinnitus: using the Tinnitus Functional Index to predict benefit in a randomized controlled trial
Published in
Trials, February 2017
DOI 10.1186/s13063-017-1807-9
Pubmed ID
Authors

Sarah M. Theodoroff, Susan E. Griest, Robert L. Folmer

Abstract

Identifying characteristics associated with transcranial magnetic stimulation (TMS) benefit would offer insight as to why some individuals experience tinnitus relief following TMS treatment, whereas others do not. The purpose of this study was to use the Tinnitus Functional Index (TFI) and its subscales to identify specific factors associated with TMS treatment responsiveness. Individuals with bothersome tinnitus underwent 2000 pulses of 1-Hz TMS for 10 consecutive business days. The primary outcome measure was the TFI which yields a total score and eight individual subscale scores. Analyses were performed on baseline data from the active arm (nā€‰=ā€‰35) of a prospective, double-blind, randomized placebo-controlled clinical trial of TMS for tinnitus. Baseline total TFI score and three of the eight TFI subscales were useful in differentiating between responders and nonresponders to TMS intervention for tinnitus. These findings are not definitive, but suggest potential factors that contribute to perceived benefit following TMS. Overall, the main factor associated with TMS benefit was a higher tinnitus severity score for responders at baseline. The TFI subscales helped to clarify the factors that contributed to a higher severity score at baseline. Large-scale prospective research using systematic approaches is needed to identify and describe additional factors associated with tinnitus benefit following TMS. ClinicalTrials.gov, ID: NCT01104207 . Registered on 13 April 2010.

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Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 21%
Researcher 8 13%
Student > Master 6 10%
Other 4 6%
Student > Postgraduate 3 5%
Other 10 16%
Unknown 18 29%
Readers by discipline Count As %
Medicine and Dentistry 15 24%
Nursing and Health Professions 9 15%
Neuroscience 5 8%
Veterinary Science and Veterinary Medicine 2 3%
Agricultural and Biological Sciences 2 3%
Other 8 13%
Unknown 21 34%